Studies on OCT and Fundus Images Towards Automatic Detection of Retinal Abnormalities Using Machine Learning Techniques

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dc.contributor.guidePal, Saurabh and Mitra, Madhuchhanda
dc.coverage.spatial
dc.creator.researcherSahoo, Moumita
dc.date.accessioned2024-05-31T12:00:24Z
dc.date.available2024-05-31T12:00:24Z
dc.date.awarded2024
dc.date.completed2024
dc.date.registered
dc.description.abstractAbstract available newline
dc.description.note
dc.description.provenanceMade available in DSpace on 2024-05-31T12:00:24Z (GMT). No. of bitstreams: 13 01_title.pdf: 197211 bytes, checksum: f5b0f0dd839f213ed9c6b0f90ed6c093 (MD5) 02_prelim pages.pdf: 548942 bytes, checksum: 94f958f210c8e98ea9b338bd9a89d437 (MD5) 03_content.pdf: 327872 bytes, checksum: 866dec2192d45fe32785a328b830ef4d (MD5) 04_abstract.pdf: 247254 bytes, checksum: eef0b4335cc38ac1ea424ebb4c4dc26e (MD5) 05_chapter 1.pdf: 1981114 bytes, checksum: 7c916b6fa0cdc374cebb9362a7f7ace6 (MD5) 06_chapter 2.pdf: 1746782 bytes, checksum: e81dce0cdbdd5c42cb5d26fc6d4f5c52 (MD5) 07_chapter 3.pdf: 1617600 bytes, checksum: 443b962f52d819b203a498eea46ec216 (MD5) 08_chapter 4.pdf: 3008565 bytes, checksum: 22ea6e3c9c736077cf223f2278330f94 (MD5) 09_chapter 5.pdf: 808487 bytes, checksum: d1176ff65fd682e2a2c281dd5b28d9b2 (MD5) 10_chapter 6.pdf: 433975 bytes, checksum: cbec088146468f68974467c4354194e6 (MD5) 11_appendix.pdf: 11482403 bytes, checksum: 3518c15412978231f79259118ee3c208 (MD5) 80_recommendation.pdf: 197211 bytes, checksum: f5b0f0dd839f213ed9c6b0f90ed6c093 (MD5) license.txt: 1837 bytes, checksum: ebde26e9c598048970cb6f8173ba5cb2 (MD5)en
dc.format.accompanyingmaterialDVD
dc.format.dimensions
dc.format.extent272
dc.identifier.urihttp://hdl.handle.net/10603/568377
dc.languageEnglish
dc.publisher.institutionDepartment of Applied Physics
dc.publisher.placeKolkata
dc.publisher.universityUniversity of Calcutta
dc.relation
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordPhysical Sciences
dc.subject.keywordPhysics
dc.subject.keywordPhysics Multidisciplinary
dc.subject.keywordInstrumentation Engineering
dc.titleStudies on OCT and Fundus Images Towards Automatic Detection of Retinal Abnormalities Using Machine Learning Techniques
dc.title.alternative
dc.type.degreePh.D.

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